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Results 491 - 500 of 3,542 for document (0.61 seconds)

  1. Label Propagation circles: Learning a complex s...

    Documentation for LabelSpreading i Fitted...nbviewer.org. LabelSpreading ? Documentation for LabelSpreading i Fitted...
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_structure.html
    Mon Jan 26 11:09:17 GMT 2026
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  2. Contribute to Elastic documentation | Elastic Docs

    Docs Contribute to Elastic documentation In April 2025, Elastic migrated...migrated to a new documentation system at elastic.co/docs , using...
    www.elastic.co/docs/contribute-docs
    Thu Jan 22 19:41:55 GMT 2026
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  3. Agglomerative clustering with different metrics...

    Demonstrates the effect of different metrics on the hierarchical clustering. The example is engineered to show the effect of the choice of different metrics. It is applied to waveforms, which can b...
    scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_clustering_metrics.html
    Mon Jan 26 11:09:17 GMT 2026
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  4. A demo of the Spectral Biclustering algorithm &...

    This example demonstrates how to generate a checkerboard dataset and bicluster it using the SpectralBiclustering algorithm. The spectral biclustering algorithm is specifically designed to cluster d...
    scikit-learn.org/stable/auto_examples/bicluster/plot_spectral_biclustering.html
    Mon Jan 26 11:09:17 GMT 2026
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  5. Sparse inverse covariance estimation — sc...

    Using the GraphicalLasso estimator to learn a covariance and sparse precision from a small number of samples. To estimate a probabilistic model (e.g. a Gaussian model), estimating the precision mat...
    scikit-learn.org/stable/auto_examples/covariance/plot_sparse_cov.html
    Mon Jan 26 11:09:14 GMT 2026
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  6. Early stopping in Gradient Boosting — sci...

    Gradient Boosting is an ensemble technique that combines multiple weak learners, typically decision trees, to create a robust and powerful predictive model. It does so in an iterative fashion, wher...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_early_stopping.html
    Mon Jan 26 11:09:14 GMT 2026
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  7. 3. Model selection and evaluation — sciki...

    Cross-validation: evaluating estimator performance- Computing cross-validated metrics, Cross validation iterators, A note on shuffling, Cross validation and model selection, Permutation test score....
    scikit-learn.org/stable/model_selection.html
    Mon Jan 26 11:09:12 GMT 2026
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  8. Gaussian Process for Machine Learning — s...

    Examples concerning the sklearn.gaussian_process module. Ability of Gaussian process regression (GPR) to estimate data noise-level Comparison of kernel ridge and Gaussian process regression Forecas...
    scikit-learn.org/stable/auto_examples/gaussian_process/index.html
    Mon Jan 26 11:09:17 GMT 2026
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  9. Non-negative least squares — scikit-learn...

    In this example, we fit a linear model with positive constraints on the regression coefficients and compare the estimated coefficients to a classic linear regression. Generate some random data Spli...
    scikit-learn.org/stable/auto_examples/linear_model/plot_nnls.html
    Mon Jan 26 11:09:17 GMT 2026
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  10. SVM Tie Breaking Example — scikit-learn 1...

    Tie breaking is costly if decision_function_shape='ovr', and therefore it is not enabled by default. This example illustrates the effect of the break_ties parameter for a multiclass class...
    scikit-learn.org/stable/auto_examples/svm/plot_svm_tie_breaking.html
    Mon Jan 26 11:09:17 GMT 2026
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